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.. toctree::
:maxdepth: 1
:name: Community Examples
:caption: Community Examples
Contextual Emotion Detection (DoubleDistilBert) <https://github.com/PyTorchLightning/emotion_transformer>
Cotatron: Transcription-Guided Speech Encoder <https://github.com/mindslab-ai/cotatron>
FasterRCNN object detection + Hydra <https://github.com/PyTorchLightning/wheat>
Hyperparameter optimization with Optuna <https://github.com/optuna/optuna/blob/master/examples/pytorch_lightning_simple.py>
Hyperparameter optimization with Ray Tune <https://docs.ray.io/en/master/tune/tutorials/tune-pytorch-lightning.html>
Image Inpainting using Partial Convolutions <https://github.com/ryanwongsa/Image-Inpainting>
MNIST on TPU <https://colab.research.google.com/drive/1-_LKx4HwAxl5M6xPJmqAAu444LTDQoa3#scrollTo=BHBz1_AnamN_>
NER (transformers, TPU) <https://colab.research.google.com/drive/1dBN-wwYUngLYVt985wGs_OKPlK_ANB9D>
NeuralTexture (CVPR) <https://github.com/PyTorchLightning/neuraltexture>
Recurrent Attentive Neural Process <https://github.com/PyTorchLightning/attentive-neural-processes>
Siamese Nets for One-shot Image Recognition <https://github.com/PyTorchLightning/Siamese-Neural-Networks>
Speech Transformers <https://github.com/PyTorchLightning/speech-transformer-pytorch_lightning>
Transformers transfer learning (Huggingface) <https://colab.research.google.com/drive/1F_RNcHzTfFuQf-LeKvSlud6x7jXYkG31#scrollTo=yr7eaxkF-djf>
Transformers text classification <https://github.com/ricardorei/lightning-text-classification>
VAE Library of over 18+ VAE flavors <https://github.com/AntixK/PyTorch-VAE>
Transformers Question Answering (SQuAD) <https://github.com/tshrjn/Finetune-QA/>
.. toctree::
:maxdepth: 1
:name: Tutorials
:caption: Tutorials
From PyTorch to PyTorch Lightning <https://towardsdatascience.com/from-pytorch-to-pytorch-lightning-a-gentle-introduction-b371b7caaf09>
Video on how to refactor PyTorch into PyTorch Lightning <https://www.youtube.com/watch?v=QHww1JH7IDU>